Open AccessSpeech signal analysis and pattern recognition in diagnosis of dysarthria
Author(s) -
MinuGeorge Thoppil,
C. Santhosh Kumar,
Anand Kumar,
John Amose
Publication year - 2017
Publication title -
annals of indian academy of neurology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.427
H-Index - 31
eISSN - 1998-3549
pISSN - 0972-2327
DOI - 10.4103/aian.aian_130_17
Subject(s) - dysarthria , formant , medicine , audiology , spastic , population , speech disorder , cerebral palsy , physical medicine and rehabilitation , speech recognition , vowel , computer science , environmental health
Dysarthria refers to a group of disorders resulting from disturbances in muscular control over the speech mechanism due to damage of central or peripheral nervous system. There is wide subjective variability in assessment of dysarthria between different clinicians. In our study, we tried to identify a pattern among types of dysarthria by acoustic analysis and to prevent intersubject variability.